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» Modelling perception using image processing algorithms
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IPMI
2005
Springer
16 years 4 months ago
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building
The non-rigid registration of a group of images shares a common feature with building a model of a group of images: a dense, consistent correspondence across the group. Image regis...
Carole J. Twining, Timothy F. Cootes, Stephen Mars...
ISBI
2007
IEEE
15 years 10 months ago
An Iterative Method for Registration of High-Resolution Cardiac Histoanatomical and Mri Images
Cardiac computational models of electrical conduction, mechanical activation, hemodynamics and metabolism require detailed information about the structural arrangement of function...
Tahier Mansoori, Gernot Plank, Rebecca Burton, J&u...
130
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FGR
1998
IEEE
125views Biometrics» more  FGR 1998»
15 years 8 months ago
Recognizing Temporal Trajectories Using the Condensation Algorithm
The recognition of human gestures in image sequences isan importantand challengingproblem that enables a host of human-computerinteractionapplications. This paper describes an inc...
Michael J. Black, Allan D. Jepson
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 9 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...

Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li